Youth 14–17
Designed for teen founders and secondary-school learners. It is especially useful for learners who need a structured, practical route into product analytics rather than a purely theoretical overview.
ESH-05807 · Data Science
Product Analytics Essentials for Youth 14–17 — Data Science
A 8-hour beginner course for teen founders and secondary-school learners who want to apply the essential tools with confidence in product analytics. The course combines the data science context with practical frameworks, realistic cases, guided exercises and a final applied output. Participants finish with a structured approach they can adapt to a real venture, team or project.
Blended online8 hoursBeginnerYouth 14–17Explore pathway
What you need
Curiosity about business or technology; no prior startup required.
European Startup Hub Certificate of Completion — Product Analytics Essentials
Module quizzes, applied worksheets and a final scenario exercise.
Learning outcomes
What you will be able to do.
Outcome 1
Explain the core principles of product analytics in the context of data science.
Outcome 2
Diagnose a realistic product analytics challenge using structured startup tools.
Outcome 3
Build a practical product analytics output appropriate for youth 14–17.
Outcome 4
Evaluate evidence, assumptions and trade-offs before making product analytics decisions.
Outcome 5
Apply product analytics methods to a venture, project or organisational scenario.
Outcome 6
Create a next-step action plan that can be used after the course.
Full syllabus
8 course modules.
Each module combines explanation, examples and an applied activity.
Module 1
Foundations of Product Analytics
Practical study of foundations of product analytics with examples, prompts and an applied activity.
Module 2
The Data Science context
Practical study of the data science context with examples, prompts and an applied activity.
Module 3
Customers, users and stakeholder needs
Practical study of customers, users and stakeholder needs with examples, prompts and an applied activity.
Module 4
Tools and frameworks for Product Analytics
Practical study of tools and frameworks for product analytics with examples, prompts and an applied activity.
Module 5
Evidence, data and assumptions
Practical study of evidence, data and assumptions with examples, prompts and an applied activity.
Module 6
Designing the approach
Practical study of designing the approach with examples, prompts and an applied activity.
Module 7
Execution and operating decisions
Practical study of execution and operating decisions with examples, prompts and an applied activity.
Module 8
Measurement and key indicators
Practical study of measurement and key indicators with examples, prompts and an applied activity.
Assessment
Module quizzes, applied worksheets and a final scenario exercise.
Included materials
Digital course notes · Practical worksheets · Case exercises · Action-plan template · Completion record in ESH ID
Learning support
Platform learning support; live facilitator interaction is included where the delivery format states Live online or Blended online.
Course information & disclaimer
Educational programme. Completion does not constitute professional, legal, financial or investment advice and does not guarantee funding, employment or business outcomes. Catalogue version 2026.1 · Last reviewed 2026-08-24.
Ready to begin?
Product Analytics Essentials for Youth 14–17 — Data Science · 8 hours · Blended online
Enrol for €155